AI will transform the way video content is produced, but will it replace jobs?

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Donnerstag, 23. August 2018

Andreas Jacobi von Make.TV über AI

 

AI is transforming the way data is processed, stored and monitored - and this applies to video as well as other industries. For traditional broadcasters, cable companies and new publishers, AI is already becoming a valid add-on for production teams looking to create programming that consumers will love.

Andreas Jacobi, CEO and co-founder at video content acquisition and curation company Make.TV, is already witnessing the effectiveness of AI for the video industry. Working with esports, news, sports and entertainment TV channels, broadcasters and production teams, Make.TV has identified that consumers are accessing content on many more channels: live TV, online streaming services, catch-up TV and social media are all perceived as channels for information, leading to less time spent watching traditional, live TV and divided attention. To respond to this challenge, the video industry is using more varied sources to enhance their programming, enabling them to report on news as it breaks and making their content more viewer-friendly with new formats.

However, this rise in sources is leading to a new challenge: the inability for production teams to  quickly identify which source to use for live or near live programming - effectively, they would have to watch thousands of clips to be able to find out which one is relevant. With AI, they can automatically identify the right segments through specific keywords, for example, and therefore speed up a big number of tasks - but it won't take away jobs in the video production and post-production industry. In Andreas' own words, the potential for AI in video is huge:

"New advancements in AI for video allow content programmers to scale the tasks involved in acquiring, moderating, processing and producing massive amounts of video to enable hyper-personalized viewing experiences that captivate and engage audiences. By automating the manual tasks in the video workflow to acquire and filter multiple assets and sources, AI is able to dive into user generated, long-tail and niche video to select and highlight the most relevant content based on a variety of metadata such as objects, geography, people, movement, and more. AI will transform streaming video into personalized, dynamic channels comprised of professionally produced and user generated live and on demand content for each viewer.

In the longer-term future, and when AI/ML algorithms are trained, we can imagine whole live streams will be automatically gs pioneering ways of using AI to make mass content acquisition usable when it is live. Initial workflows will integrate face and object recognition so that content can be identified far more quickly. Operators will have the option to automatically trigger graphics or switch between content (to follow a specific cyclist in a race, for example) or automatically transfer segments to a different server.

Looking ahead to the 2020 Summer Olympics, broadcasters around the globe will set new records for the number of feeds they ingest and the amount of programming they distribute (as they do for every Olympics). But imagine if they could acquire all of the sources covering every minute of every event plus hyper-local coverage of the fan experience within the venues, the excitement of Tokyo, plus live video from the athletes themselves. It would be a treasure trove of content but an overwhelming amount of video to manage. Using Make.TV and AI, broadcasters can automatically filter and develop refined levels of metadata to accelerate the curation and programming of all of these new live feeds. Now they're able to provide dynamically created, sport-specific, team-specific and athlete-specific live channels, interweaving authentic, hyper-local live coverage, creating a whole new level of hyper-personalized viewing experiences."

Andreas Jacobi, CEO and co-founder von Make.TV


Pressemitteilung von Make.TV